The Inspect Scout library introduces a seven-step pipeline to analyze massive AI interaction logs. This framework replaces fragmented methods with a standardized approach to assess model behaviors and evaluation accuracy. It provides concrete code examples to prevent common analysis pitfalls. Researchers can now implement more rigorous and reproducible audits of how models interact with users.